numerical tolerance #1641
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numerical tolerance #1641
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| split_cell_indices = np.array(()) | ||
| else: | ||
| split_cell_indices, _ = np.where(pre_wrap_delta != | ||
| post_wrap_delta) |
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@marqh You could simply refactor this to be the following ...
close_enough = np.allclose(pre_wrap_delta, post_wrap_delta)
if not close_enough:
split_cell_indices, _ = np.where(pre_wrap_delta != post_wrap_delta)
# Re-calaulate the extended minimum.
indices = inside_indices[split_cell_indices]
cells = bounds[indices]
....
|
@marqh Great, thanks 👍 |
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There is a bug in the cube intersection code where
can return a result due to numerical tolerances in the floating point coordinate value
I have trapped this and added a test. This is a reported bug against 1.8.0, so please may it be targeted at the 1.8.1 milestone?
thank you